How to download your Poshmark sales data
Exporting my sales data was simple (and reminiscent of when I did the same thing for my Peloton data). I tapped my Profile button on the bottom right of the Poshmark app, then scrolled down to My seller tools and found My sales report within. From there, you'll have three options: Last full year, Year to date, and Custom range. After selecting one (and, if you choose to use a custom range, inputting it), all that's left to do is hit Email report. For me, the reports I've generated all came in under three minutes.
Credit: Lindsey EllefsonThe link to download each report came to my email inbox. After downloading the CSV file, I stuck it in my Google Drive so I could open it in Google Sheets.
Listing date
Order ID
Department (Women, Men, etc.)
Subcategory (Phone cases, tees, polos, heels, crossbody bags, etc.)
Color
Whether the order was made in a bundle with other listings from your storefront
Whether the item was NWT, or "new with tags"
The lowest price you ever had the item listed for
Your total earnings
Their zip code
The sales tax paid by the buyer
Why this data is valuable
Right away, I identified some valuable categories in the data. The listing date and order date are pretty key because they can give you insight into how long things are sitting in your storefront without being sold. By using the spreadsheet to figure out how many days were between listing and sale for each sold product, then sorting them by lowest to highest, you can get an idea of which brands or categories you're selling are more popular. Then, you can list more of those kinds of things.
I was also interested in the discrepancy between the final price that was paid and the lowest price the listing ever was. The majority of my sales have been made after I sent the buyer a discount offer or they sent me one and I accepted it, so seeing how big the difference really is between what I want to earn on a sale and what I actually end up earning is valuable. I do wish, however, there was a column dedicated to highest listed price to accompany the data Poshmark provides on lowest listed price. I'd be interested in knowing how big the differences between what I originally valued an item at, how low I discounted it after it didn't sell, and what I ultimately accepted for it are.
Credit: Lindsey EllefsonI repeated that process on the column containing my most-sold brands. I knew SHEIN and other fast fashion would be well-represented because I have seen such an uptick in interest in those since tariffs went into place, and other results weren't surprising either: Higher-end goods from Gucci and Louis Vuitton have sold more than, say, Gymshark or Salt Life, but there's probably some selection bias in there, since I'm more likely to list the products I know will bring in higher amounts of money. Still, it was validating to see all the random and unexpected brands that have sold. It reminded me that there's value in listing any and everything since somewhere out there, a potential buyer does want it.
I'll spend some time making detailed graphs over the next few days so I can really pinpoint what I should be listing and promoting, but even from a high level, the data here is useful. I did notice that though I set my end point on the date range to yesterday, the last listed sale in the data set I received is from two weeks ago, so there's a delay in reflection. I've made a significant number of sales since then, partly thanks to my decision to spend a little money promoting my listings, so I'm eager to see the breakdown of those sales factor into my overall stats. I'm thinking, then, I'll need to download this every month or so to make sure I have the best and most up-to-date information on trends as they relate to my sales. Honestly, I'm kind of excited to do it.
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